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Security: tuanlda78202/leo

Security

SECURITY.md

Security Policy

Supported Versions

We take security seriously in the Leo project. The following versions are currently supported with security updates:

Version Supported
0.1.x

Reporting a Vulnerability

If you discover a security vulnerability within Leo, please report it responsibly by following these steps:

Private Disclosure

  1. DO NOT create a public GitHub issue for security vulnerabilities
  2. Send an email to: tuanleducanh78202(at)gmail.com
  3. Include the following information:
    • Description of the vulnerability
    • Steps to reproduce the issue
    • Potential impact assessment
    • Suggested fix (if you have one)

What to Expect

  • Acknowledgment: We will acknowledge receipt of your vulnerability report within 48 hours
  • Assessment: We will assess the vulnerability and provide an initial response within 5 business days
  • Updates: We will keep you informed of our progress throughout the investigation
  • Resolution: We aim to resolve critical vulnerabilities within 30 days
  • Credit: We will credit you in our security advisory (unless you prefer to remain anonymous)

Security Considerations

Infrastructure Security

  • Database Security: MongoDB instances should be properly secured with authentication and network isolation
  • API Security: FastAPI endpoints should implement proper authentication and rate limiting
  • Container Security: Docker containers should run with minimal privileges and be regularly updated
  • Environment Variables: Sensitive configuration should be stored securely using environment variables

Data Protection

  • API Keys: All API keys (OpenAI, Google GenAI, AWS, etc.) must be stored securely and rotated regularly
  • Data Encryption: Sensitive data should be encrypted at rest and in transit
  • Access Control: Implement proper access controls for data and system resources
  • Data Retention: Follow data retention policies and securely delete data when no longer needed

Model Security

  • Model Integrity: Ensure ML models are obtained from trusted sources and verify checksums
  • Input Validation: Validate all inputs to prevent injection attacks
  • Output Sanitization: Sanitize model outputs to prevent potential exploits
  • Resource Limits: Implement resource limits to prevent resource exhaustion attacks

Web Application Security

  • CORS Configuration: Properly configure CORS settings for the frontend
  • Input Validation: Validate all user inputs on both client and server side
  • Authentication: Implement secure authentication mechanisms
  • HTTPS: Always use HTTPS in production environments
  • CSP Headers: Implement Content Security Policy headers

Best Practices

For Developers

  1. Dependencies: Regularly update dependencies and monitor for known vulnerabilities
  2. Code Review: All code should be reviewed before merging
  3. Secret Management: Never commit secrets to version control
  4. Least Privilege: Run services with minimal required permissions
  5. Logging: Implement proper logging without exposing sensitive information

For Deployment

  1. Network Security: Use firewalls and network segmentation
  2. Monitoring: Implement security monitoring and alerting
  3. Backup: Maintain secure backups of critical data
  4. Updates: Keep all systems and dependencies updated
  5. Access Control: Implement proper access controls and regular access reviews

Security Tools and Configurations

Pre-commit Hooks

This project uses pre-commit hooks to catch security issues early:

  • Code linting with Ruff
  • Security scanning for common vulnerabilities
  • Secrets detection

Dependency Management

  • Use uv for Python dependency management
  • Regular dependency updates via dependabot or similar tools
  • Vulnerability scanning of dependencies

Container Security

  • Use minimal base images
  • Run containers as non-root users
  • Regularly update container images
  • Scan images for vulnerabilities

Incident Response

In case of a security incident:

  1. Immediate Response: Isolate affected systems to prevent further damage
  2. Assessment: Assess the scope and impact of the incident
  3. Communication: Notify relevant stakeholders and users if necessary
  4. Recovery: Implement fixes and restore normal operations
  5. Post-Incident: Conduct a post-incident review and update security measures

Security Resources

Compliance

This project aims to follow security best practices and may need to comply with:

  • Data protection regulations (GDPR, CCPA, etc.)
  • Industry-specific security standards
  • Organizational security policies

Contact

For security-related questions or concerns:

  • Email: tuanleducanh78202(at)gmail.com
  • Please review our Code of Conduct for community guidelines

Changelog

Version 0.1.0

  • Initial security policy established
  • Basic security guidelines implemented
  • Vulnerability reporting process defined

Note: This security policy is a living document and will be updated as the project evolves and new security considerations arise.

There aren't any published security advisories